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Gender differences in CNV burden do not confound schizophrenia CNV associations

Han, Jun, Walters, James, Kirov, George, Pocklington, Andrew, Escott-Price, Valentina, Owen, Michael John, Holmans, Peter Alan, O'Donovan, Michael Conlon and Rees, Elliott 2016. Gender differences in CNV burden do not confound schizophrenia CNV associations. Scientific Reports 6 , 25986. 10.1038/srep25986

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Abstract

Compared with the general population, an excess of rare copy number variants (CNVs) has been identified in people with schizophrenia. Females with neurodevelopmental disorders and in the general population have been reported to carry more large, rare CNVs than males. Given that many schizophrenia datasets do not have equal gender ratios in cases and controls, sex differences in CNV burden might have impacted on estimates of case-related CNV burden and also on associations to individual loci. In a sample of 13,276 cases and 17,863 controls, we observed a small but significant excess of large (≥500 Kb), rare (<1%) CNVs in females compared with males in both cases and controls (OR = 1.17, P = 0.0012 for controls; OR = 1.11, P = 0.045 for cases). The burden of 11 schizophrenia-associated CNVs was significantly higher in female cases compared with male cases (OR = 1.38, P = 0.0055), but after accounting for the rates of CNVs in controls, we found no significant gender difference in the risk conferred by these loci. Controlling for gender had a negligible effect on the significance of association between specific CNVs and schizophrenia. The female excess of large CNVs in both cases and controls suggests a female protective mechanism exists for deleterious CNVs that may extend beyond neurodevelopmental phenotypes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Medicine
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher: Okayama University
ISSN: 0474-0254
Date of First Compliant Deposit: 28 April 2016
Date of Acceptance: 26 April 2016
Last Modified: 23 Jun 2019 21:56
URI: http://orca.cf.ac.uk/id/eprint/90141

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